/AI-Powered Marketing
A RS TEXT THAT GOES HERE 7
Industry
Retail
Engagement
Full Build
Scope
Digital Marketing, Channels, Tech
Automating Marketing Decisions at Scale
Automating Marketing Decisions at Scale
We created an automation layer that powers marketing at scale: smarter campaigns, faster rollouts, and teams that finally have room to breathe.
/Context/
A collaboration with one of the largest retail chains in the GCC, operating hundreds of stores with fast-moving product cycles and regionally varied promotions.
A collaboration with one of the largest retail chains in the GCC, operating hundreds of stores with fast-moving product cycles and regionally varied promotions.
With such scale came complexity: marketing decisions were often decentralised, manually executed, and time-sensitive, leading to inconsistent outcomes across markets.
With such scale came complexity: marketing decisions were often decentralised, manually executed, and time-sensitive, leading to inconsistent outcomes across markets.
/Challenge/
Manual processes for campaign planning, pricing strategy, and in-store promotions created bottlenecks. The system was rich in data, but poor in actionability.
Manual processes for campaign planning, pricing strategy, and in-store promotions created bottlenecks. The system was rich in data, but poor in actionability.
The marketing team needed to move faster and smarter, but without increasing headcount or losing control.
The marketing team needed to move faster and smarter, but without increasing headcount or losing control.
/Solution/
We designed and deployed a decision automation layer tailored for marketing operations. It connected promotional inputs, product performance data, and store-level intelligence into a unified logic.Rules were systematised, repeat decisions were automated, and thresholds were introduced to flag when human input was actually needed.
We designed and deployed a decision automation layer tailored for marketing operations. It connected promotional inputs, product performance data, and store-level intelligence into a unified logic.Rules were systematised, repeat decisions were automated, and thresholds were introduced to flag when human input was actually needed.
Branding
Strategy
/Results/
A significant reduction in repetitive manual planning tasks
Faster campaign turnaround across regional teams
Improved promotional relevance and alignment with store-level dynamics
Clearer decision accountability and performance feedback loops
A significant reduction in repetitive manual planning tasks
Faster campaign turnaround across regional teams
Improved promotional relevance and alignment with store-level dynamics
Clearer decision accountability and performance feedback loops
/More work.
Year
Project name
Description
/Stay in the loop.
For what’s too important to miss.
/Stay in the loop.
For what’s too important to miss.
/Stay in the loop.
For what’s too important to miss.
/Stay in the loop.
For what’s too important to miss.